| Signal | GPT-4 (older v0314) | Delta | Qwen3 235B A22B |
|---|---|---|---|
Capabilities | 50 | -17 | |
Benchmarks | 66 | +1 | |
Pricing | 40 | -58 | |
Context window size | 62 | -19 | |
Recency | 0 | -70 | |
Output Capacity | 60 | -5 | |
| Overall Result | 1 wins | of 6 | 5 wins |
Score History
64.8
current score
Qwen3 235B A22B
right now
65.3
current score
OpenAI
Alibaba
Qwen3 235B A22B saves you $5863.50/month
That's $70362.00/year compared to GPT-4 (older v0314) at your current usage level of 100K calls/month.
| Metric | GPT-4 (older v0314) | Qwen3 235B A22B | Winner |
|---|---|---|---|
| Overall Score | 65 | 65 | Qwen3 235B A22B |
| Rank | #116 | #115 | Qwen3 235B A22B |
| Quality Rank | #116 | #115 | Qwen3 235B A22B |
| Adoption Rank | #116 | #115 | Qwen3 235B A22B |
| Parameters | -- | 235B | -- |
| Context Window | 8K | 131K | Qwen3 235B A22B |
| Pricing | $30.00/$60.00/M | $0.45/$1.82/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 67 | Qwen3 235B A22B |
| Benchmarks | 66 | 64 | GPT-4 (older v0314) |
| Pricing | 40 | 98 | Qwen3 235B A22B |
| Context window size | 62 | 81 | Qwen3 235B A22B |
| Recency | 0 | 70 | Qwen3 235B A22B |
| Output Capacity | 60 | 65 | Qwen3 235B A22B |
Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.
Scores 65/100 (rank #116), placing it in the top 60% of all 290 models tracked.
Scores 65/100 (rank #115), placing it in the top 61% of all 290 models tracked.
With only a 1-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.
Qwen3 235B A22B offers 97% better value per quality point. At 1M tokens/day, you'd spend $34.13/month with Qwen3 235B A22B vs $1350.00/month with GPT-4 (older v0314) - a $1315.88 monthly difference.
Both models have comparable response speeds. For most applications, the latency difference is negligible.
When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.
Code generation & review
Higher benchmark score (0/100) indicates stronger performance on coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Faster response time (speed score 0/100) is critical for user-facing chat. Qwen3 235B A22B also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (131K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($1.82/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (65/100) correlates with better nuance, coherence, and style in long-form content
GPT-4 (older v0314) and Qwen3 235B A22B are extremely close in overall performance (only 0.5 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
GPT-4 (older v0314)
Marginally better benchmark scores; both are excellent
Best for Cost
Qwen3 235B A22B
97% lower pricing; better value at scale
Best for Reliability
GPT-4 (older v0314)
Higher uptime and faster response speeds
Best for Prototyping
GPT-4 (older v0314)
Stronger community support and better developer experience
Best for Production
GPT-4 (older v0314)
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-4 (older v0314) | Qwen3 235B A22B |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
OpenAI
Alibaba
Qwen3 235B A22B saves you $123.00/month
That's 98% cheaper than GPT-4 (older v0314) at 1,000 tokens/request and 100 requests/day.
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | GPT-4 (older v0314) | Qwen3 235B A22B |
|---|---|---|
| Context Window | 8K | 131K |
| Max Output Tokens | 4,096 | 8,192 |
| Open Source | No | Yes |
| Created | May 28, 2023 | Apr 28, 2025 |
Qwen3 235B A22B scores 65/100 (rank #115) compared to GPT-4 (older v0314)'s 65/100 (rank #116), giving it a 1-point advantage. Qwen3 235B A22B is the stronger overall choice, though GPT-4 (older v0314) may excel in specific areas like certain benchmarks.
GPT-4 (older v0314) is ranked #116 and Qwen3 235B A22B is ranked #115 out of 290+ AI models. Rankings use a composite score combining benchmark performance (90%) from MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations, with capabilities and context window as tiebreakers (10%). Scores update hourly.
Qwen3 235B A22B is cheaper at $1.82/M output tokens vs GPT-4 (older v0314)'s $60.00/M output tokens - 33.0x more expensive. Input token pricing: GPT-4 (older v0314) at $30.00/M vs Qwen3 235B A22B at $0.45/M.
Qwen3 235B A22B has a larger context window of 131,072 tokens compared to GPT-4 (older v0314)'s 8,191 tokens. A larger context window means the model can process longer documents and conversations.